Fraud Tech Specialist

firstsourc; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Firstsource Solutions Limited is seeking a Fraud Technical Specialist in Bangalore to design and optimize fraud detection rules. You will investigate trends by querying cross-system data and deliver clear insights through advanced SQL queries and customised reports.

You will support QA of platform upgrades and coordinate with internal teams and vendors to prioritize incident resolution, leveraging strong analytical skills and experience in fraud analytics where possible.

Qualifications

• 2–4 years of experience with SQL queries for fraud deduction and anomaly detection.
• Experience handling large enterprise data warehouse datasets.
• Ability to translate business problems into data-driven fraud insights.
• Experience designing and testing fraud detection logic using behavioural and transactional data.
• Strong numerical aptitude; prior fraud analytics is advantageous but not required.
• Adaptability to competing priorities in a fast-paced environment.

Responsibilities

• Collaborate with Fraud Technical Lead to design and optimize fraud detection rules.
• Investigate emerging fraud trends by querying data across systems and proposing countermeasures.
• Develop advanced SQL queries and customised reports for stakeholders.
• Support QA through UAT of fraud platform upgrades and enhancements.
• Coordinate with internal support teams and external vendors to resolve incidents with priority.

Skills

Advanced SQL proficiency

Large datasets

Analytical mindset

Fraud detection logic

Numerical aptitude

Adaptability

Fraud analytics experience (advantage)

Cause of incidents resolution

Tools

Oracle

Google Cloud Platform

Job description

Date: Sep 17, 2026

Location:

Bangalore, KA, IN

Requisition ID: 22508

“Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company is a global leader providing business process solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With a global footprint across US, UK, India, Philippines, Mexico, Romania, Turkey, Trinidad & Tobago, South Africa, and Australia, they ‘make it happen’ for their clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics.”

Position :Fraud Technical Specialist

Job location : Bangalore

Division : BPM

Experience : Preferred min 2-4 years of experience in strong SQL queries writing on fraud deduction and finding the anomalies.

As part of Fraud team, you’ll play a key role in delivering our Technical Fraud strategy, ensuring the business is protected through intelligent, data-driven fraud controls.

• Collaborate with the Fraud Technical Lead to design and optimize fraud detection rules using insights derived from large-scale data analysis.
• Investigate emerging fraud trends by interrogating data across multiple systems, identifying patterns and proposing actionable countermeasures.
• Respond to business-critical questions by developing advanced SQL queries and customised reports. You’ll go beyond the numbers to deliver clear, meaningful insights to stakeholders across the business.
• Support system quality assurance through user acceptance testing of fraud platform upgrades and enhancements, ensuring all changes meet functional requirements and are free of defects.
• Work with internal support teams and external vendors to resolve system incidents, applying commercial judgement to prioritize and escape issues appropriately.

Key Skills & Experience

• Advanced SQL proficiency — confident writing complex queries involving joins, subqueries, CTEs, and aggregate functions.
• Experience working with large datasets in an enterprise data warehouse environment (e.g., Oracle, Goggle Cloud Platform).
• Strong analytical mindset with the ability to translate business problems into data-driven solutions.
• Comfortable designing and testing fraud detection logic based on behavioural and transactional data.
• Highly numerate, ideally with experience in a data analysis or fraud analytics role.
• Previous fraud experience is advantageous but not essential — technical and analytical capability is key.
• Demonstrates resilience and adaptability when faced with competing priorities.